TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Jie, Wei, Zhewei, Ye, Yuhang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
by: Yi, Lu, et al.
Published: (2025)
by: Yi, Lu, et al.
Published: (2025)
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
by: Ding, Haipeng, et al.
Published: (2025)
by: Ding, Haipeng, et al.
Published: (2025)
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
by: Peng, Jie, et al.
Published: (2024)
by: Peng, Jie, et al.
Published: (2024)
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
by: Ma, Jiahong, et al.
Published: (2024)
by: Ma, Jiahong, et al.
Published: (2024)
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
by: Yi, Lu, et al.
Published: (2024)
by: Yi, Lu, et al.
Published: (2024)
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
by: Zheng, Yanping, et al.
Published: (2025)
by: Zheng, Yanping, et al.
Published: (2025)
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
by: Wang, Zhe, et al.
Published: (2024)
by: Wang, Zhe, et al.
Published: (2024)
LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
by: Hao, Bing, et al.
Published: (2025)
by: Hao, Bing, et al.
Published: (2025)
Future Link Prediction Without Memory or Aggregation
by: Yi, Lu, et al.
Published: (2025)
by: Yi, Lu, et al.
Published: (2025)
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
by: Lei, Runlin, et al.
Published: (2025)
by: Lei, Runlin, et al.
Published: (2025)
Dynamic Localisation of Spatial-Temporal Graph Neural Network
by: Duan, Wenying, et al.
Published: (2025)
by: Duan, Wenying, et al.
Published: (2025)
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)
by: Liu, Aoyu, et al.
Published: (2022)
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
by: Zhang, Yang, et al.
Published: (2023)
by: Zhang, Yang, et al.
Published: (2023)
Dynamic Elliptical Graph Factor Models via Riemannian Optimization with Geodesic Temporal Regularization
by: Peng, Chuansen, et al.
Published: (2026)
by: Peng, Chuansen, et al.
Published: (2026)
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
by: He, Mingguo, et al.
Published: (2022)
by: He, Mingguo, et al.
Published: (2022)
Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management
by: Cui, Guanyu, et al.
Published: (2026)
by: Cui, Guanyu, et al.
Published: (2026)
DyGKT: Dynamic Graph Learning for Knowledge Tracing
by: Cheng, Ke, et al.
Published: (2024)
by: Cheng, Ke, et al.
Published: (2024)
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
by: Zong, Chang, et al.
Published: (2025)
by: Zong, Chang, et al.
Published: (2025)
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
by: Karmim, Yannis, et al.
Published: (2024)
by: Karmim, Yannis, et al.
Published: (2024)
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems
by: Rathnasuriya, Ravishka, et al.
Published: (2025)
by: Rathnasuriya, Ravishka, et al.
Published: (2025)
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
by: Liu, Yuxuan, et al.
Published: (2026)
by: Liu, Yuxuan, et al.
Published: (2026)
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
by: Lei, Runlin, et al.
Published: (2024)
by: Lei, Runlin, et al.
Published: (2024)
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
by: Baras, Amit, et al.
Published: (2023)
by: Baras, Amit, et al.
Published: (2023)
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
by: Yang, Sikun, et al.
Published: (2023)
by: Yang, Sikun, et al.
Published: (2023)
DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes
by: Zheng, Jialun, et al.
Published: (2025)
by: Zheng, Jialun, et al.
Published: (2025)
Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer
by: Hu, Shengxiang, et al.
Published: (2023)
by: Hu, Shengxiang, et al.
Published: (2023)
Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
by: Zhang, Qingyuan, et al.
Published: (2025)
by: Zhang, Qingyuan, et al.
Published: (2025)
Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks
by: Regier, Derek, et al.
Published: (2026)
by: Regier, Derek, et al.
Published: (2026)
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
by: Zhou, Jianxiang, et al.
Published: (2024)
by: Zhou, Jianxiang, et al.
Published: (2024)
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
DynaSTy: A Framework for SpatioTemporal Node Attribute Prediction in Dynamic Graphs
by: Banerji, Namrata, et al.
Published: (2026)
by: Banerji, Namrata, et al.
Published: (2026)
Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
by: Ma, Yuhang, et al.
Published: (2026)
by: Ma, Yuhang, et al.
Published: (2026)
Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking
by: Kang, Ben, et al.
Published: (2025)
by: Kang, Ben, et al.
Published: (2025)
Sequence Diffusion Model for Temporal Link Prediction in Continuous-Time Dynamic Graph
by: Duc, Nguyen Minh, et al.
Published: (2026)
by: Duc, Nguyen Minh, et al.
Published: (2026)
Temporal Link Prediction Using Graph Embedding Dynamics
by: Fard, Sanaz Hasanzadeh, et al.
Published: (2024)
by: Fard, Sanaz Hasanzadeh, et al.
Published: (2024)
Data-centric Prompt Tuning for Dynamic Graphs
by: Peng, Yufei, et al.
Published: (2026)
by: Peng, Yufei, et al.
Published: (2026)
Retrofitting Temporal Graph Neural Networks with Transformer
by: Huang, Qiang, et al.
Published: (2024)
by: Huang, Qiang, et al.
Published: (2024)
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
by: Liu, Yuxiang, et al.
Published: (2026)
by: Liu, Yuxiang, et al.
Published: (2026)
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
by: Bastos, Anson, et al.
Published: (2024)
by: Bastos, Anson, et al.
Published: (2024)
Similar Items
-
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
by: Yi, Lu, et al.
Published: (2025) -
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
by: Ding, Haipeng, et al.
Published: (2025) -
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
by: Peng, Jie, et al.
Published: (2024) -
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
by: Ma, Jiahong, et al.
Published: (2024) -
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
by: Yi, Lu, et al.
Published: (2024)